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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 9,199 Documents
 135   136   137   138   139 
Reduced mutual coupling multiband MIMO patch antenna with swastik type mushroom EBG Maturi Thirupathi; Baranikunta Harikrishna
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 1: April 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i1.pp490-494

Abstract

This paper presents a reduced mutual coupling 1x2 rectangular patch antenna. The major disadvantage of the MIMO is mutual coupling. When two antennas are placed nearby mutual coupling occurs. When mutual coupling occurs decrease the channel capacity. Hence the propose system which resonates at first 2.5GHz, second is resonates at 5.4GHz.  Two closely spaced antenna elements are separated by a distance of λmax/8. Here Swastik type mushroom EBG is introduced.  EBG is placed between the two antennas. When EBG is placed between the two antennas good coupling reduction is obtained. This design is excellent isolation of -35dB and -25dB can be observed in the simulation results.
Human gait recognition using orthogonal least square as feature selection Rohilah Sahak; Nooritawati Md Tahir; Ahmad Ihsan Mohd Yassin; Fadhlan Hafizhelmi Kamaruzaman
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 3: March 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i3.pp1355-1361

Abstract

This study investigates the potential gait features that are related to human recognition using orthogonal least square (OLS). Firstly, video of 30 subjects walking in oblique view was recorded using Kinect. Next, all 20 skeleton joints in 3D space were extracted and further selected using OLS. Additionally, SVM with linear, polynomial and radial basis function (RBF) kernel was used to classify the selected features. As consequences, OLS was proven to be able to identify the significant features using all three kernels of SVM since all recognition accuracy attained is higher as compared to the original gait features. Results attained showed that the highest recognition accuracy was 90.67% using 48 skeleton joint points for SVM with linear as kernel, followed by 46 skeleton joint points for SVM with RBF kernel namely 88.33% and accuracy of 86.33% for 38 skeleton joint points using  polynomial kernel.
Visual Simulation of Missile Attacking Battleplane Based on Vega Xiong Fengguang; Han Xie; Zhang Huibing
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

A visual simulation system of fragment warhead missile attacking F-16C ''Falcon'' battleplane based on simulation and virtual reality technology is put forward. Firstly, the overall design of visual simulation of missile attacking F16 battleplane is implemented, and all functions of each module are demonstrated in detailed. Then 3D models in virtual battle field are optimized by level of detail, texture mapping, billboard and instance technology. Finally, Vega scene driving program is developed, and the implementation of special effect, view transform, preview and collision detect are emphasized. The result of simulation provides reference for damage assessment of missile attacking F16 battleplane. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3941
Underwater Acoustic Communication Based on Hyperbolic Frequency Modulated M-ary Binary Orthogonal Keying Yuan Fei; Lin Xiao-Yang; Wei Qian; Cheng En
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 10: October 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i10.pp7311-7317

Abstract

In this  paper, we propose the HFM-MBOK modulation thecnology based on the frequency bands allocation which is suitable for underwater acoustic communication. The solution have characteristic of constant envelope. Under the guidace of the theory, we test the practicability of the system throuth Matlab simulation. And the sistem used MFSK-MBOK cascaded technology and reduced calculation amount significantly. Finally, the underwater acoustic communication system we proposed has been tested in the pool. The experiment results show that the system is able to achieve a robust and reliable communcation under the condicaions of low signal-to noise ratio and strong multipath envirement.
Blind Channel Estimation Using Wavelet Denoising of Independent Component Analysis for LTE Gamal Mabrouk Abdel-Hamid; Reham S. Saad
Indonesian Journal of Electrical Engineering and Computer Science Vol 1, No 1: January 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v1.i1.pp126-137

Abstract

A new proposal of blind channel estimation method for long term evoluation (LTE) based on combining advantages of denoising property of wavelet transform (WT) with blind estimation capability of independent component analysis (ICA) called wavelet denoising of ICA (WD-ICA) was presented. This new method increased the spectral efficiency compared to training based methods, and provided considerable performance enhancement over conventional ICA methods. The conventional blind channel estimation methods based on ICA were performed individually for each orthogonal frequency division multiplexing (OFDM) subcarrier. To reduce complexity of implementation of WD-ICA method, channel interpolation was used. This method was presented for multiple-input-multiple-output (MIMO) downlink LTE system. WD-ICA method was compared to conventional ICA methods and the Performance was evaluated by calculating normalized mean square error (NMSE) and bit error rate (BER). WD-ICA method as compared to the other known ICA channel estimation methods has lower complexity, lower value of NMSE, and lower value of BER, which indicates the superiority of the proposed method.
Primary User Emulation Attacks Analysis for Cognitive Radio Networks Communication Wang Shan-Shan; Luo Xing-Guo; Li Bai-Nan
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 7: July 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Cognitive Radio Network is an effective technology and a hot research direction which can solve the problem of deficient resource and revolutionize utilization. And its safety technology attracts more and more researches. Primary user emulation attacks (PUEAs) are typically easy and largely affecting. PUEAs come from both malicious misbehavior secondary users (MMUs) and selfish misbehavior secondary users (SMUs). The former is studied much more deeply than the later one. Distinguishing MMU and SMU, we propose a Four Dimensional Continuous Time Markov Chain model to analyze the communication performance of normal secondary users under PUEAs, and typically affected by SMUs. Furthermore, we compare several PUEA detection schemes. The emulation results indicate that the SMU detection mechanism is essential for the PUEA detection schemes, which can improve the detection effects largely. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2840
A Control Strategy for DFIM to Minimize DC Bus Voltage Fluctuations and Torque Oscillations G. Venu Madhav; Y. P. Obulesu
Indonesian Journal of Electrical Engineering and Computer Science Vol 5, No 2: February 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v5.i2.pp277-289

Abstract

The Direct Power Contro; has many advantages like it avoids the usage of integration of PWM voltages which leads to stable operation even at zero rotor frequency, it is position sensor less and hence will not depend on machine parameters like stator or rotor resistance. In case of network unbalance, if the system is operated with constant active and reactive powers, it leads to oscillations in the electromagnetic torque and currents exchange with the grid will become non- sinusoidal, which is not good for the system as it increases the mechanical stress. In this paper, both the rotor connected converter and grid connected converter are fed with DPC strategy along with that a Torque Oscillations Cancellation scheme is applied to RSC and Proportional Integral control based power references generation strategy without calculating the sequence components and with elimination of DC bus voltage oscillations is applied to stator-side converter in order to achieve non-oscillating torque accompanied by quality improved current exchange with the grid. The simulation results of Doubly Fed Induction Generator with and without fault clearly shows that the performance of the proposed scheme is validated.
GWO Based Optimal Reactive Power Coordination of DFIG, ULTC and Capacitors Mogaligunta Sankaraiah; Sanna Suresh Reddy; M Vijaya Kumar
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i3.pp805-813

Abstract

Wind is available with free of cost anywhere in the world, this wind can be used for power generation due to many advantages. This attracts the researchers to work on wind power plants. The presence of wind power plants on distribution system causes major influence on voltage controlled devices (VCDs) in terms of life of the devices. Therefore, this paper proposes grey wolf optimization method (GWO) together with forecasted load one day in advance. VCDs are on load tap changer (ULTC) and capacitors (CS), there are two main objectives first one is curtail of distribution network (DN) loss and second one is curtailing of ULTC and CS switching’s. Objectives are achieved by controlling the reactive power of DFIG in coordination with VCDs. The proposed method is planned and applied in Matlab/Simulink on 10KV practical system with DFIG located at different locations. To validate the efficacy of GWO, results are compared with conventional and dynamic programming methods without profane grid circumstances.
The dynamics of traffic congestion: a specific look into malaysian scenario and the plausible solutions to eradicate it using machine learning M. Ali; T. K. Sheng; K. M. Yusof; M. R. Suhaili; N. E. Ghazali; S. Ali
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i2.pp1086-1094

Abstract

Transportation has been considered as the backbone of the economy for the past many years. Unfortunately, since few years due to the uncontrolled urbanization and inadequate planning, countries are facing problem of congestion. The congestion is hindering the economic growth and also causing environmental issues. This has caused serious concerns among the major economies of the world, especially in Asia-Pacific region. Many countries are playing an active role in eradicating this problem and some have been quite successful so far. Malaysia, being a major ASEAN economy is also tackling with this huge problem. The authorities are committed to solve the issue. In this regard, solving the issue leveraging the use of big data analytics has become crucial. The authorities can form a complete robust framework based on big data analytics and decision making process to solve the issue effectively. The work focuses and observes the traffic data samples and analyzes the accuracy of machine learning algorithms, which helps in decision making. Yet, here is a lot to be done if the government needs to solve the problem effectively. Supposedly, a comprehensive big data transport framework leveraging machine learning, is one way to solve the issue.
Cost Analysis of Hybrid Restructuration for Distribution System to Improve Voltage and Minimize Losses Firas M.F Flaih; Lin Xiangning; Samir M. Dawoud; Mohammed R. Almallah
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 3: December 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i3.pp431-438

Abstract

Current situation in Iraq had led to extensive blackouts which needs an expansion in generation capacity. On the other hand the government has reduced the budget allocated for energy resource development and it seems this situation will sustain for the coming years.  So the fulfilment of the load demand is the biggest challenge for the ministry of electricity with limited budget. In this paper the authors have proposed a method to reduce the power losses and therefore improve the voltage profile for low voltage (LV) distribution system that results in reduction of blackouts. The method involves the repositioning of the distribution transformer (DTR) from the existing location and the replacement of the overhead conductor cross section area for an existing low voltage distribution system (LVDS). This method has been applied to a 20-node low voltage radial distribution network in the general directorate of north distribution electricity (GDNDE), Iraq, where voltage profile and losses are unsatisfactory. Results demonstrate the effectiveness of the proposed method also in terms of the economic feasibility. It is observed that the system average voltage profile is improved by 15%, tail end voltage enhanced by 19.7% and losses are reduced by 78% for existing the LVDS.

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